Towards nuanced and critical data analysis: an exploratory investigation into complexities of Goodreads reviews for children's books by Yuerong Hu, Chen Ling

“…This paper presents an exploratory investigation into 37,408 Goodreads reviews on children’s books to showcase the complexities of cultural datasets online, to inform contextualized and critical cultural data analysis. Method. We conducted topic modelling and qualitative analysis of content on the reviews retrieved by regular expressions and visualized our findings. …”
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Scene Graph and Natural Language-Based Semantic Image Retrieval Using Vision Sensor Data by Jaehoon Kim, Byoung Chul Ko

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Strawberry Ripeness Assessment Via Camouflage-Based Data Augmentation for Automated Strawberry Picking Robot by Ferhat Sadak

“…Yolov4, Yolov4 tiny and Yolov4 scaled, and their traditional data augmentation and camouflage-based data augmentation derivatives were used to find out the effect of camouflage-based augmentation technique in overcoming the occlusion issue. …”
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UML/OCL based design and the transition towards temporal object relational database with bitemporal data by Soumiya Ain El Hayat, Fouad Toufik, Mohamed Bahaj

“…The emergence of temporal database calls for new visual and efficient modeling techniques to facilitate the design of temporal objects. …”
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Hypotensive therapy effectiveness evaluation in primary open-angle glaucoma evidenced by pattern electroretinogram data by E. V. Tur, T. Yu. Kozhevnikova

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Understanding temperature-rain data using ID3 based concept reduction technique in FCA by S. Usharani, S. Kaspar

“…In this paper, an approach to facilitate the understanding of temperature-rain data of Vellore district with the use of data collected for the recent 15 years period is presented. …”
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STPam: Software for Intelligently Analyzing and Mining Spatiotemporal Processes Based on Multi-Source Big Data by Rongjun Xiong, Zeqiang Chen, Huiwen Pan, Dongyang Liu, Aiguo Sun, Nengcheng Chen

“…Analyzing and mining spatiotemporal processes refers to the extraction of geographic phenomena from spatiotemporal data and the analysis of available geographic knowledge and patterns. …”
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An Open Data Platform for Traffic Parameters Measurement via Multirotor Unmanned Aerial Vehicles Video by Yuchuan Du, Cong Zhao, Feng Li, Xuefeng Yang

“…Aerial video (160 min) from the Shanghai inner ring expressway was collected and real time traffic parameter values were obtained from analyzing and processing the aerial visual data containing spatial, time, velocity, and acceleration data. …”
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Data driven resistivity zonation integrating inversion kriging and clustering for subsurface characterization in groundwater exploration by Gumilar Utamas Nugraha, Hendra Bakti, Rachmat Fajar Lubis, Asep Mulyono, Yuniarti Ulfa, Yayat Sudrajat

“…This study confirms that the combination of geoelectrical inversion, geostatistics, and clustering improves the accuracy of subsurface mapping, offering a data-driven approach applicable to complex geological environments. …”
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UAlpha40: A comprehensive dataset of Urdu alphabet for Pakistan sign languageMendeley Data by Sameena Javaid, Shahood Sajid, Yusra Khan Baloch

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Optimal graph representations and neural networks for multichannel time series data in seizure phase classification by Alan A. Díaz-Montiel, Richard Zhang, Milad Lankarany

“…Moreover, we show that by leveraging t-SNE, a statistical method for visualizing high-dimensional data, we can analyze how GNN’s influence the iEEG and graph representation embedding space. …”
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An alternative application of Rasch analysis to assess data from ophthalmic patient-reported outcome instruments. by Richard N McNeely, Salissou Moutari, Samuel Arba-Mosquera, Shwetabh Verma, Jonathan E Moore

“…Analysis was performed on data at both post-operative assessments, and the outcomes were compared.…”
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Normative Data for the NeuroCom Sensory Organization Test in United States Military Academy Boxers by Nathan E Henry, Amy N Weart, Erin M Miller, Lisa D Feltner, Donald L Goss

“…To the knowledge of the authors these are the only published normative data for a highly-active military population ages 17-23…”
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Automatic eddy detection in Antarctic marginal ice zone using Sentinel-1 SAR data by Nikita Sandalyuk, Eduard Khachatrian, Ekaterina Marchuk

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Archaeological Reconnaissance in Tarbagatai (East Kazakhstan) Using Satellite Imagery Data: methodology and results of research by Andrey A. Pushkarev

“…This made it possible to gather essential data on how these sites appear in satellite imagery, which was later used to search for new archaeological objects. …”
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Utility of Treatment Pattern Analysis Using a Common Data Model: A Scoping Review by Eun-Gee Park, Min Jung Kim, Jinseo Kim, Kichul Shin, Borim Ryu

“…Objectives We aimed to derive observational research evidence on treatment patterns through a scoping review of common data model (CDM)-based publications. Methods We searched the medical literature databases PubMed and EMBASE, as well as the Observational Health Data Sciences and Informatics (OHDSI) website, for papers published between January 1, 2010 and August 21, 2023 to identify research papers relevant to our topic. …”
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Interpretable machine learning models for predicting childhood myopia from school-based screening data by Qi Feng, Xin Wu, Qianwen Liu, Yuanyuan Xiao, Xixing Zhang, Yan Chen

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A Model for Building Student Physical Health Information Management in a Big Data Environment by Yan Luo, Zhibin Nie

“…In view of the problem of low validity of students' physical health information assessment results and difficulty in timely improvement of physical health status, this article constructed a visual, real-time, and comprehensive student physical health IM model using big data. …”
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Time Series Forecasting for Air Quality with Structured and Unstructured Data Using Artificial Neural Networks by Kenneth Chan, Paul Matthews, Kamran Munir

“…Various machine learning algorithms exist to predict air quality, but they can only analyse structured data gathered from monitoring stations. However, the concentration of certain pollutants, such as PM_2.5 and PM₁₀, can be visually significant when there is a marked difference in their levels. …”
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Laryngeal disease classification using voice data: Octave-band vs. mel-frequency filters by Jaemin Song, Hyunbum Kim, Yong Oh Lee

“…Introduction: Laryngeal cancer diagnosis relies on specialist examinations, but non-invasive methods using voice data are emerging with artificial intelligence (AI) advancements. …”
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